3260 papers • 126 benchmarks • 313 datasets
The goal of Slot Filling is to identify from a running dialog different slots, which correspond to different parameters of the user’s query. For instance, when a user queries for nearby restaurants, key slots for location and preferred food are required for a dialog system to retrieve the appropriate information. Thus, the main challenge in the slot-filling task is to extract the target entity. Source: Real-time On-Demand Crowd-powered Entity Extraction Image credit: Robust Retrieval Augmented Generation for Zero-shot Slot Filling
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